Application of advanced diffusion models from diffusion weighted imaging in a large cohort study of breast lesions

Table 2 ROC curve analysis of independent or combined parameters

	Sensitivity	Specificity	Threshold	AUC	95% CI
ADC	0.803	0.736	0.810 × 10^− 3	0.803	0.764–0.842
f	0.774	0.747	0.324	0.803	0.764–0.842
Df	0.711	0.574	0.011	0.673	0.626–0.720
Ds	0.870	0.309	0.011	0.546	0.496–0.597
DDC	0.494	0.747	1.484 × 10^− 3	0.609	0.558–0.659
alpha	0.895	0.521	0.694	0.714	0.668–0.759
Dc	0.678	0.691	1.587 × 10^− 3	0.721	0.676–0.766
alphac	0.762	0.675	0.786	0.742	0.699–0.786
betac	0.812	0.634	0.893	0.753	0.710–0.796
ADCS	0.745	0.706	1.492 × 10^− 3	0.775	0.734–0.816
sigma	0.640	0.777	0.651 × 10^− 3	0.753	0.711–0.796
DK	0.745	0.706	1.492 × 10^− 3	0.775	0.734–0.816
k	0.812	0.698	0.604	0.790	0.750–0.830
biexponential	0.690	0.808	0.535	0.817	0.780–0.854
SEM	0.908	0.517	0.406	0.719	0.674–0.764
CTRW	0.757	0.725	0.460	0.781	0.740–0.822
DKI	0.841	0.668	0.411	0.792	0.752–0.831
SM	0.753	0.709	0.467	0.776	0.735–0.817
All	0.874	0.751	0.393	0.882	0.852–0.912

ISSN: 1471-2342